Sonification paper, 2008

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Title

SAR detection through sonic transformation

Abstract:

In surveillance applications there is generally an operator in the loop. The active nature of Synthetic Aperture Radar (SAR) image formation represents a particularly challenging problem to all but experienced image analysts. Also, the imagery available for exploitation may not represent all of the useful information contained within the SAR data.

This project investigated the utility of using sound (sonification) for the discrimination of targets in SAR imagery. Several sonic mappings were developed to translate image features into sounds.

An assessment of the sonic mappings showed that users were able to discriminate between targets and false alarms as successfully as an automatic classification process.

Together with previous work this implies that sonification is best applied to problems described by high-dimensional features.

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Authors:

W. Oxford, Waterfall Solutions, UK;

Conference:

Third annual SEAS DTC / EMRS Conference, Edinburgh, Scotland. 24 - 25 June 2008